Antonio Possolo

2.7k citations
80 papers · 1.5k · h-index 21

Impact in

Papers in

Antonio Possolo

75 papers receiving 1.4k citations

Peers

Antonio Possolo
Comparison fields: 5 of 147
  • Statistics, Probability and Uncertainty 418
  • Statistics and Probability 127
  • Global and Planetary Change 298
  • Radiation 121
  • Atmospheric Science 216
Replace Blaza Toman with:
Blaza Toman United States
Philip Jonathan United Kingdom
Surendra P. Verma Mexico
Thomas A. Brubaker United States
YuLong Xie United States
Larry G. Blackwood United States
Wolfhard Wegscheider Austria
Xiaojie Wang China
David C. Woods United Kingdom
N. J. McCormíck United States
Antonio Possolo relative to Blaza Toman United States Blaza Toman's profile →
Citations per field
00.5×1.7×
Blaza Toman · 1×
Citations per year

Countries citing papers authored by Antonio Possolo

Since Specialization
Citations

This map shows the geographic impact of Antonio Possolo's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Antonio Possolo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antonio Possolo more than expected).

Fields of papers citing papers by Antonio Possolo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Antonio Possolo. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Antonio Possolo. The network helps show where Antonio Possolo may publish in the future.

Co-authors

The 25 scholars most cited alongside Antonio Possolo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Antonio Possolo Line = papers co-authored together Antonio Possolo links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 80 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2015153
2 2014109
3 200570
4 200965
5 201763
6 201863
7 201562
8 201557
9 201755
10 200754
11 201647
12 201746
13 201342
14 201741
15 201034
16 202034
17 201825
18 201924
19 201923
20 201422

About Antonio Possolo

Antonio Possolo is a scholar working on Statistics, Probability and Uncertainty, Statistics and Probability, Radiation, Atmospheric Science and Food Science, having authored 80 papers that have together received 1.5k indexed citations. Recurring topics across this work include Scientific Measurement and Uncertainty Evaluation (36 papers), Advanced Statistical Process Monitoring (12 papers), Radioactive Decay and Measurement Techniques (11 papers), Advanced Statistical Methods and Models (9 papers), Pesticide Residue Analysis and Safety (9 papers), History and advancements in chemistry (6 papers), Atmospheric and Environmental Gas Dynamics (6 papers) and Atmospheric Ozone and Climate (6 papers). The work is most often cited by research in Statistics, Probability and Uncertainty (418 citations), Statistics and Probability (127 citations), Global and Planetary Change (298 citations), Radiation (121 citations) and Atmospheric Science (216 citations). Antonio Possolo has collaborated with scholars based in United States, Canada and United Kingdom. Frequent co-authors include Blaza Toman, Olha Bodnar, Michael R. Winchester, Antonio R. Montoro Bustos, Clemens Elster, Hari Iyer, J. R. Whetstone, Barbara A. Maher, Juris Meija and A. Sophia Koepke. Their work appears in journals such as Metrologia, Analytical and Bioanalytical Chemistry, Accreditation and Quality Assurance, Pure and Applied Chemistry and Analytical Chemistry.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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